Comprehensive Characterizations of Immune Receptor Repertoire in Tumors and Cancer Immunotherapy Studies.

Li Song, Zhangyi Ouyang, David Cohen, Yang Cao, Jennifer Altreuter, Gali Bai, Xihao Hu, Kenneth J Livak, Heng Li, Ming Tang, Bo Li, X Shirley Liu

Journal: Cancer immunology research 2022;10(7):788-799

PMID: 35605261

Abstract

We applied our computational algorithm TRUST4 to assemble immune receptor (T-cell receptor/B-cell receptor) repertoires from approximately 12,000 RNA sequencing samples from The Cancer Genome Atlas and seven immunotherapy studies. From over 35 million assembled complete complementary-determining region 3 sequences, we observed that the expression of CCL5 and MZB1 is the most positively correlated genes with T-cell clonal expansion and B-cell clonal expansion, respectively. We analyzed amino acid evolution during B-cell receptor somatic hypermutation and identified tyrosine as the preferred residue. We found that IgG1+IgG3 antibodies together with FcRn were associated with complement-dependent cytotoxicity and antibody-dependent cellular cytotoxicity or phagocytosis. In addition to B-cell infiltration, we discovered that B-cell clonal expansion and IgG1+IgG3 antibodies are also correlated with better patient outcomes. Finally, we created a website, VisualizIRR, for users to interactively explore and visualize the immune repertoires in this study. See related Spotlight by Liu and Han, p. 786.

©2022 American Association for Cancer Research.

Address: Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts.; Harvard T.H. Chan School of Public Health, Boston, Massachusetts.; Department of Experimental Hematology and Biochemistry, Beijing Institute of Radiation Medicine, Beijing, P.R. China.; College of Life Sciences, Sichuan University, Chengdu, Sichuan, P.R. China.; Department of Medical, Dana-Farber Cancer Institute, Boston, Massachusetts.; Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, Massachusetts.; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts.; Lyda Hill Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, Texas.; Center for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, Massachusetts.
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